Comments (1)
The advantage is improving the search time by reducing the time of distance calculation. The disadvantage is that you cannot use the index as your original vector repository, because vectors that are extracted from the index are not original ones but normalized ones. There is no other differences from the denormalized distance.
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Related Issues (20)
- Is there any benchmark result for NGT QG/QBG? HOT 4
- file descriptor leak on `index.build_index` HOT 2
- Missing functions and types in the C API HOT 14
- Python bindings for QG/QBG HOT 3
- bugs HOT 3
- Fixed seeds for deterministic results HOT 1
- Building with -DNGT_QBG_DISABLED=ON still trying to link with LAPACK and BLAS HOT 2
- How to update NGT from older version to new one? HOT 2
- pip install in python==3.11 fails : could not find a version that satisfies HOT 4
- Running sample codes (e.g., qg-l2-float) HOT 6
- Remove vector causes error, only for "Normalised" distance types: Index.h:remove:1544: Not found the specified id HOT 7
- Quantization in qg-l2-float.cpp HOT 1
- colab import ngt dose not work HOT 1
- Paper and references for QG HOT 1
- 2.2.0 failed to build on macos HOT 2
- Building bin/qbg is happening even with NGT_QBG_DISABLED HOT 2
- Missing bfloat16 property setter in C API HOT 1
- what tool to draw the image HOT 3
- One Build Error: _mm512_extract_epi64 is not supprted for some cpu versions. HOT 1
- One Bug
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